Future tutorial possibilities

ESO-python / ESOPythonTutorials

Tutorials and notes from the ESO python demonstration series

BSD 3-Clause "New" or "Revised" License

10 stars 6 forks source link

Future tutorial possibilities #1

Open keflavich opened 10 years ago

keflavich commented 10 years ago

Here are some tutorial ideas / suggestions we have in mind. If they're here and unchecked, they haven't been scheduled. Once they're checked, they should be scheduled on the google calendar.

[x] May 5, 2014; Day 1: Intro, Units & Coordinates in astropy Adam Ginsburg
[ ] pyCUDA and ffts by Marco Tazzari
[ ] pyMultiNest by Johannes Buchner
[ ] astroquery by Julien Woillez and Adam Ginsburg
[ ] Python IFU tools by Bernd Husemann
[x] May 12, 2014 Numpy by Julian Taylor
[x] Package Management and Installation (anaconda, pip, etc.)
[ ] Debugging interactively (and testing)
[x] Making nice matplotlib plots by Bernd Husemann
[ ] Wrapping fortran & C code
[ ] How to optimize (profile and improve speed) of python code
[ ] Working with tables (astropy, maybe pandas)
[ ] ADS-related tools
[ ] Glue
[ ] Testing (py.test, nose, etc.)
[ ] Parallelization. joblib, multiprocessing, mpi4py, some notes on parallelism

keflavich commented 10 years ago

Package management and installation

keflavich commented 10 years ago

Getting started with ipython

Debugging interactively (without the mess)

for packages
for scripts

keflavich commented 10 years ago

How to write fast code: numpy arrays

basic numpy
advanced array stuff? numba?

keflavich commented 10 years ago

3D plotting (incorporating into PDFs)

mtazzari commented 10 years ago

Hi, a collaborator of mine, Frederik Beaujean (LMU, C2PAP), offered to come and present us

Fast FFT computation on CPU with FFTW and the pyfftw wrapper.

keflavich commented 10 years ago

From Leonardo:

Recommended python distribution and interactive development environment
Developing some useful code on a git-like repository and packaging in a way that can be downloaded/installed as module by other people
Computation efficient code:
- how best to use python with my existing C/C++ or Fortran codes
- how to develop and link small compute efficient functions (in C/C++/F) and link them to python as a module
- how to use hardware accelerators with pyCUDA and pyOpenCL (does it make sense to do this?)
- parallel computing in python multiprocessing and/or mpi4py (or other options)

We are looking for speakers for many of these

keflavich commented 10 years ago

Eric:

Optimizing code; profiling (related: C/Fortran wrapping) - Julian
parallelism in general
Automatically generating bibliographies: ADS, ADS-labs, etc.

Joe:

working with tables. astropy tables; maybe pandas (or maybe not)
SQL database querying